ArticleACS omega2024
Computational Analysis of Biodegradable Polyester Materials for Biomedical Applications: Investigating Molecular Weight Change due to Hydrolysis.
Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Advancements in Polymer-Based Nanocarriers for Controlled Release of Nitric Oxide: Clinical Applications and Future Prospects.International journal of nanomedicine · 2026Review
- Biodegradable Polyesters: Approaches to Increase Degradation Rates for Biomedical Applications.ACS macro letters · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biopolymers have gained significant importance in the field of biomedicine, particularly in addressing organ and tissue loss in living organisms. These polymers exhibit temporary functionality during treatment and undergo biodegradation once their intended purpose is fulfilled. The diverse characteristics of these biopolymers expand their range of applications, albeit necessitating extensive experimentation and a time commitment for thorough investigation. Computational models have emerged as a promising avenue for predictive analysis, complementing traditional experimental methods. In this study, we delve into the degradation dynamics of polyester materials with a specific emphasis on the hydrolysis process. We employed an appropriate reaction diffusion model to unveil the underlying mechanisms governing material weight loss and erosion within a two-dimensional framework for a rectangular slice of the implant. By bridging computational modeling with empirical research, this study provides valuable insights into the behavior of biopolymers, contributing to a deeper understanding of these materials and their potential for advanced biomedical applications. To illustrate this framework's effectiveness, we conducted a case study using experimental data from the literature, focusing on poly(d,l-lactic acid) material.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.